{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1.导包\n",
    "import tensorflow as tf\n",
    "import matplotlib.pyplot as plt\n",
    "from tensorflow.keras.datasets import cifar10\n",
    "import numpy as np\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(50000, 32, 32, 3) (50000, 1)\n",
      "(10000, 32, 32, 3) (10000, 1)\n"
     ]
    }
   ],
   "source": [
    "# 使用cifar10.load_data()函数加载CIFAR-10数据集，返回训练集和测试集的数据和标签。\n",
    "# 打印训练集的图像数据形状（X_train.shape）和标签数据形状（y_train.shape）。\n",
    "# 打印测试集的图像数据形状（X_test.shape）和标签数据形状（y_test.shape）。\n",
    "(X_train,y_train),(X_test,y_test)=cifar10.load_data()\n",
    "print(X_train.shape,y_train.shape)\n",
    "print(X_test.shape,y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 300x300 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[4]\n"
     ]
    }
   ],
   "source": [
    "#CIFAR-10 是由Hinton 的学生Alex Krizhevsky 和Ilya Sutskever整理的一个用于识别普适物体的小型数据集。\n",
    "# 一共包含10 个类别的RGB 彩色图片：\n",
    "# 飞机（ airplane ）、汽车（ automobile ）、鸟类（ bird ）、猫（ cat ）、鹿（ deer ）、\n",
    "# 狗（ dog ）、蛙类（ frog ）、马（ horse ）、船（ ship ）和卡车（ truck ）。\n",
    "# CIFAR-10数据集中每个图片的尺寸为32 × 32 ，每个类别有6000个图像，数据集中一共有50000 张训练图片和10000 张测试图片。\n",
    "#2.单个数据展示\n",
    "\n",
    "\n",
    "# 使用plt.figure(figsize=(3,3))设置图像的大小为3x3英寸。\n",
    "# 使用plt.subplot(2,2,1)创建一个2x2的子图网格，并在第一个位置显示图像X_train[99]。\n",
    "# 使用plt.subplot(2,2,2)在第二个位置显示图像X_train[100]。\n",
    "# 使用plt.subplot(2,2,3)在第三个位置显示图像X_train[101]。\n",
    "# 使用plt.subplot(2,2,4)在第四个位置显示图像X_train[102]。\n",
    "# 使用plt.xticks([])和plt.yticks([])隐藏x轴和y轴的刻度。\n",
    "# 使用plt.show()显示图像。\n",
    "# 使用print(y_train[10])打印第10个标签。\n",
    "plt.figure(figsize=(3,3))\n",
    "plt.subplot(2,2,1)\n",
    "plt.imshow(X_train[99])\n",
    "plt.subplot(2,2,2)\n",
    "plt.imshow(X_train[100])\n",
    "plt.subplot(2,2,3)\n",
    "plt.imshow(X_train[101])\n",
    "plt.subplot(2,2,4)\n",
    "plt.imshow(X_train[102])\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "plt.show()\n",
    "print(y_train[10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'int'>\n",
      "[6]\n"
     ]
    }
   ],
   "source": [
    "print(type(int(y_train[0])))\n",
    "print(y_train[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 600x300 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#3.多个数据展示\n",
    "# 飞机（ airplane ）、汽车（ automobile ）、鸟类（ bird ）、猫（ cat ）、鹿（ deer ）、\n",
    "# 狗（ dog ）、蛙类（ frog ）、马（ horse ）、船（ ship ）和卡车（ truck ）。\n",
    "\n",
    "classes1=['airplane','automobile','bird','cat','deer','dog','frog','horse','ship','truck']\n",
    "classes2=['飞机','汽车','鸟类','猫','鹿','狗','蛙类','马','船','卡车']\n",
    "def plot_image(images,labels,pred,index,nums=10):\n",
    "    plt.rcParams['font.sans-serif']=['SimHei']\n",
    "    plt.rcParams[\"axes.unicode_minus\"]=False\n",
    "    fig=plt.gcf()\n",
    "    fig.set_size_inches(6,3)\n",
    "    for i in range(nums):\n",
    "        ax=plt.subplot(2,5,i+1)\n",
    "        ax.imshow(images[index])\n",
    "        title='labels:'+classes2[int(labels[index])]\n",
    "        ax.set_title(title,fontsize=8)\n",
    "        ax.set_xticks([])\n",
    "        ax.set_yticks([])\n",
    "        index+=1\n",
    "    plt.show()\n",
    "plot_image(X_train,y_train,'',0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#4.数据处理\n",
    "# 特征值归一化\n",
    "# 将训练集和测试集的图像数据进行归一化处理。\n",
    "# 通过将每个像素值除以255，可以将图像数据的范围缩放到0到1之间。\n",
    "# 这样做可以使得模型更容易学习特征，并且提高训练效果。\n",
    "X_train=X_train/255.\n",
    "X_test=X_test/255."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]\n",
      "[0. 0. 0. 1. 0. 0. 0. 0. 0. 0.]\n"
     ]
    }
   ],
   "source": [
    "#标签值one-hot编码\n",
    "# 独热编码是一种常用的表示类别变量的方法，\n",
    "# 它将每个类别映射为一个二进制向量，\n",
    "# 其中只有一个元素为1，其余元素为0\n",
    "from tensorflow.keras.utils import to_categorical\n",
    "y_train=to_categorical(y_train)\n",
    "y_test=to_categorical(y_test)\n",
    "print(y_train[0])\n",
    "print(y_test[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "flatten (Flatten)            (None, 3072)              0         \n",
      "_________________________________________________________________\n",
      "dense (Dense)                (None, 2048)              6293504   \n",
      "_________________________________________________________________\n",
      "dropout (Dropout)            (None, 2048)              0         \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 512)               1049088   \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 128)               65664     \n",
      "_________________________________________________________________\n",
      "dense_3 (Dense)              (None, 10)                1290      \n",
      "=================================================================\n",
      "Total params: 7,409,546\n",
      "Trainable params: 7,409,546\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "#搭建模型\n",
    "from tensorflow.keras.layers import Dense,Flatten,Input,Dropout\n",
    "from tensorflow.keras.models import Sequential\n",
    "model=Sequential()\n",
    "# model.add(Dense(1000,input_shape=(32,32,3),activation='relu'))\n",
    "# 定义了输入层的维度为32x32x3，表示图像的宽度、高度和通道数。\n",
    "# 这里假设输入的图像是彩色图像，具有RGB三个通道。\n",
    "model.add(Input(shape=(32,32,3)))\n",
    "# 将输入的多维张量展平为一维向量，以便后续的全连接层处理。\n",
    "model.add(Flatten())\n",
    "# 添加了一个具有2048个神经元的全连接层，并使用ReLU激活函数进行非线性变换。\n",
    "model.add(Dense(2048,activation='relu'))\n",
    "# 添加了一个丢弃率为0.2的Dropout层，\n",
    "# 用于在训练过程中随机丢弃一部分神经元，以减少过拟合的风险。\n",
    "model.add(Dropout(0.2))\n",
    "# 再添加了一个具有512个神经元的全连接层，同样使用ReLU激活函数。\n",
    "model.add(Dense(512,activation='relu'))\n",
    "# 再添加了一个具有128个神经元的全连接层，同样使用ReLU激活函数。\n",
    "model.add(Dense(128,activation='relu'))\n",
    "# 最后添加了一个具有10个神经元的输出层，使用Softmax激活函数进行多分类预测。\n",
    "model.add(Dense(10,activation='softmax'))\n",
    "# 用model.summary()方法打印出模型的结构摘要信息，包括每一层的名称、类型、输出形状等。\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#编译\n",
    "# 从tensorflow.keras.losses模块导入了categorical_crossentropy损失函数，\n",
    "# 用于多分类问题的评估和优化\n",
    "from tensorflow.keras.losses import categorical_crossentropy\n",
    "# 导入了两种优化器：SGD（随机梯度下降）和Adam（自适应矩估计）。\n",
    "from tensorflow.keras.optimizers import SGD,Adam\n",
    "# 使用model.compile()方法对模型进行编译。在该方法中，需要指定损失函数、\n",
    "# 优化器以及评估指标。在这里，损失函数选择了categorical_crossentropy，\n",
    "# 优化器选择了SGD()（默认学习率为0.01），评估指标选择了accuracy（准确率）\n",
    "model.compile(loss=categorical_crossentropy,optimizer=SGD(),metrics=['accuracy'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "1250/1250 [==============================] - 5s 4ms/step - loss: 1.9008 - accuracy: 0.3135 - val_loss: 1.7546 - val_accuracy: 0.3790\n",
      "INFO:tensorflow:Assets written to: .\\save\\assets\n",
      "Epoch 2/10\n",
      "1250/1250 [==============================] - 5s 4ms/step - loss: 1.7091 - accuracy: 0.3929 - val_loss: 1.7174 - val_accuracy: 0.3815\n",
      "INFO:tensorflow:Assets written to: .\\save\\assets\n",
      "Epoch 3/10\n",
      "1250/1250 [==============================] - 5s 4ms/step - loss: 1.6259 - accuracy: 0.4195 - val_loss: 1.6009 - val_accuracy: 0.4398\n",
      "INFO:tensorflow:Assets written to: .\\save\\assets\n",
      "Epoch 4/10\n",
      "1250/1250 [==============================] - 5s 4ms/step - loss: 1.5687 - accuracy: 0.4421 - val_loss: 1.5901 - val_accuracy: 0.4384\n",
      "INFO:tensorflow:Assets written to: .\\save\\assets\n",
      "Epoch 5/10\n",
      "1250/1250 [==============================] - 5s 4ms/step - loss: 1.5254 - accuracy: 0.4582 - val_loss: 1.5301 - val_accuracy: 0.4593\n",
      "INFO:tensorflow:Assets written to: .\\save\\assets\n",
      "Epoch 6/10\n",
      "1250/1250 [==============================] - 5s 4ms/step - loss: 1.4858 - accuracy: 0.4723 - val_loss: 1.5149 - val_accuracy: 0.4681\n",
      "INFO:tensorflow:Assets written to: .\\save\\assets\n",
      "Epoch 7/10\n",
      "1250/1250 [==============================] - 5s 4ms/step - loss: 1.4542 - accuracy: 0.4834 - val_loss: 1.4935 - val_accuracy: 0.4725\n",
      "INFO:tensorflow:Assets written to: .\\save\\assets\n",
      "Epoch 8/10\n",
      "1250/1250 [==============================] - 5s 4ms/step - loss: 1.4265 - accuracy: 0.4933 - val_loss: 1.4591 - val_accuracy: 0.4892\n",
      "INFO:tensorflow:Assets written to: .\\save\\assets\n",
      "Epoch 9/10\n",
      "1250/1250 [==============================] - 5s 4ms/step - loss: 1.3960 - accuracy: 0.5027 - val_loss: 1.4594 - val_accuracy: 0.4797\n",
      "Epoch 10/10\n",
      "1250/1250 [==============================] - 5s 4ms/step - loss: 1.3703 - accuracy: 0.5123 - val_loss: 1.4656 - val_accuracy: 0.4797\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x1d32f0d4190>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#训练\n",
    "# 从tensorflow.keras模块导入了callbacks子模块。然后，创建了三个回调函数对象\n",
    "from tensorflow.keras import callbacks\n",
    "# 使用callbacks.TensorBoard()创建一个TensorBoard回调函数，\n",
    "# 用于可视化训练过程中的损失和指标变化。log_dir参数指定了日志文件保存的目录。\n",
    "callback1=callbacks.TensorBoard(log_dir='./view')\n",
    "# 使用callbacks.ModelCheckpoint()创建一个模型检查点回调函数，\n",
    "# 用于在每个训练周期结束时保存模型的权重。filepath参数指定了保存文件的路径，\n",
    "# monitor参数指定了监控指标（在这里是验证集上的损失），\n",
    "# save_best_only参数设置为True表示只保存最佳性能的模型权重\n",
    "callback2=callbacks.ModelCheckpoint(filepath='./save',monitor='val_loss',save_best_only=True)\n",
    "# 使用callbacks.EarlyStopping()创建一个早停回调函数，\n",
    "# 用于在验证集上的性能不再提升时提前终止训练。monitor参\n",
    "# 数指定了监控指标（在这里是验证集上的损失），\n",
    "# patience参数设置了容忍多少个训练周期内没有性能提升\n",
    "callback3=callbacks.EarlyStopping(monitor='val_loss',patience=4)\n",
    "# 使用model.fit()方法对模型进行训练，使用了前面定义的三个回调函数对象作为回调函数列表的元素\n",
    "model.fit(X_train,y_train,validation_split=0.2,epochs=10,callbacks=[callback1,callback2,callback3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "313/313 [==============================] - 1s 2ms/step - loss: 1.4402 - accuracy: 0.4856\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[1.4402226209640503, 0.48559999465942383]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 模型评估\n",
    "model.evaluate(X_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 保存模型\n",
    "model.save('./model_weather.h5')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2 (tags/v3.9.2:1a79785, Feb 19 2021, 13:44:55) [MSC v.1928 64 bit (AMD64)]"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "6fff98fc3b3d81bd655c2cc48858186e4d9e2db7b515bf1c3221888f12a62f87"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
